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Paper Citation Record · LEDGER

UVLLM: An Automated Universal RTL Verification Framework using LLMs

As of 15 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 12 inbound Pith citation observations for arXiv:2411.16238.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.16238 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:27:04.926059Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:20:54.004393Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T03:37:35.786682Z

Reference resolution

46 of 46 outbound references displayed

  • verified exact0
  • verified fuzzy26
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d9344ccb-72e7-4dc7-84f9-6910d42d1844 · outbound

This paper cites Are we there yet? a study on the state of high-level synthesis,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Are we there yet? a study on the state of high-level synthesis,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:27:04.751536Z digest=sha256:8e59ef8668213c2f82b24eee1f3a62ea269f0e5542a3d89395e7c84796af6941

Observation dacba6d7-d158-4b0e-94d9-0cc30697fe1a · outbound

This paper cites A survey of test based automatic program repair.

UVLLM: An Automated Universal RTL Verification Framework using LLMs A survey of test based automatic program repair

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:27:05.495145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:27:04.756304Z digest=sha256:fd6ac58f902005eeb31ad5dea2df4b29e735b3b049302d6101ab5ca586a551ba

Observation 1df5bd7f-1172-4af6-b207-bb119a491436 · outbound

This paper cites A critical review on the evaluation of automated program repair systems,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs A critical review on the evaluation of automated program repair systems,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:27:05.482272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:27:04.759923Z digest=sha256:4b77bcdbd5a8e79344fc42275cc63d6a1a0a63df65004c9badd04bac02885e36

Observation c07183d9-4940-42c7-8e63-b4b81388507c · outbound

This paper cites A Critical Review of Large Language Model on Software Engineering: An Example from ChatGPT and Automated Program Repair.

UVLLM: An Automated Universal RTL Verification Framework using LLMs A Critical Review of Large Language Model on Software Engineering: An Example from ChatGPT and Automated Program Repair

Reference 4

Resolution
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no resolver link, observed 2026-08-12T13:27:04.763906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:27:04.763906Z digest=sha256:b654e871d2f3e7f8b182add559e7d1185013a410d9fc9c73acd6ef9f36d62cff

Observation ece1c15d-b72a-4e31-8d2c-fa9dbcb8f444 · outbound

This paper cites Thinkrepair: Self- directed automated program repair,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Thinkrepair: Self- directed automated program repair,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:27:05.466859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:27:04.769449Z digest=sha256:be36e336e82dd27abf6e943d6ad5d72fab7d2adb3145d3d35840d808d1d8f0d9

Observation b2d792f0-f9ef-43a8-86f9-b4924b73731e · outbound

This paper cites Automated c/c++ program repair for high-level synthesis via large language models,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Automated c/c++ program repair for high-level synthesis via large language models,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:27:05.452513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:27:04.773144Z digest=sha256:da36b871f11b19e5c7bd4b760091f543b9b0cf9c9b1b42949163068f06ee841f

Observation fdf287f9-4ef7-4942-a2cb-93a7297a4141 · outbound

This paper cites Cirfix: automatically repairing defects in hardware design code,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Cirfix: automatically repairing defects in hardware design code,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:27:05.440654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:27:04.777725Z digest=sha256:3d156b5f28e7345b59eb69c1565910d488d0fa9971e6fbc9fd8d8892d70026fd

Observation 16d120d2-5e58-4267-adb2-eebd796ad531 · outbound

This paper cites Strider: Signal value transition-guided defect repair for hdl programming assignments,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Strider: Signal value transition-guided defect repair for hdl programming assignments,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:27:05.426180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:27:04.781694Z digest=sha256:40801823caca766d402b8553218c4fd37cb1bdf765bb5a8f929d1652122831fa

Observation 8dcec1d1-12a7-4282-a1ba-c9f0d8b454b8 · outbound

This paper cites Rtl- repair: Fast symbolic repair of hardware design code,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Rtl- repair: Fast symbolic repair of hardware design code,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:27:05.410543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:27:04.785395Z digest=sha256:c79192277a5e614cd67e7f9a6aa1f63d36b44b5c71d4462140f03681fbc6eec4

Observation b15d9b46-f34e-46d3-9b98-4c08eedcc847 · outbound

This paper cites Verilogeval: Evaluating large language models for verilog code generation,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Verilogeval: Evaluating large language models for verilog code generation,

Reference 10

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no resolver link, observed 2026-08-12T13:27:04.788860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:27:04.788860Z digest=sha256:c3945923c8a797b7e32f78a33aed9f0ee1c8aa92574b6b7410c6adbcb7d6efe6

Observation c7438387-f811-450c-aceb-2221d9541330 · outbound

This paper cites VeriGen: A Large Language Model for Verilog Code Generation.

UVLLM: An Automated Universal RTL Verification Framework using LLMs VeriGen: A Large Language Model for Verilog Code Generation

Reference 11

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no resolver link, observed 2026-08-12T13:27:04.792249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:27:04.792249Z digest=sha256:76718993763a26f50198def8110d133278ec9969938cf898b8379e746122e44a

Observation f976c84e-befc-4313-99c1-402343c457ae · outbound

This paper cites Chip-Chat: Challenges and Opportunities in Conversational Hardware Design.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Chip-Chat: Challenges and Opportunities in Conversational Hardware Design

Reference 12

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no resolver link, observed 2026-08-12T13:27:04.796193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:27:04.796193Z digest=sha256:9dcd3827d392986b073bfb9897185ff4d0c0c19f2ef8dca36790759219f3bbd0

Observation d1dcbdf0-a3c6-4be9-b4f9-5214ac786f34 · outbound

This paper cites Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS

Reference 13

Resolution
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no resolver link, observed 2026-08-12T13:27:04.800026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:27:04.800026Z digest=sha256:2fe31a05dc2722dd308ed254ec99de3f439b4f6cceb24aeeb67a1caf4d8650e9

Observation a35e97b2-b227-45f4-9410-4dbc401856be · outbound

This paper cites ChipNeMo: Domain-Adapted LLMs for Chip Design.

UVLLM: An Automated Universal RTL Verification Framework using LLMs ChipNeMo: Domain-Adapted LLMs for Chip Design

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T13:27:04.804481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:27:04.804481Z digest=sha256:bef67184f238684776008fcf57d33daffb25279898e4e993a200bf5c8e202b4a

Observation fd3dcde3-e1c2-4f75-8011-6cc6cd82d753 · outbound

This paper cites RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Models.

UVLLM: An Automated Universal RTL Verification Framework using LLMs RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Models

Reference 15

Resolution
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no resolver link, observed 2026-08-12T13:27:04.809499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:27:04.809499Z digest=sha256:8bc9eed2673e3ab53df01984932821c9acfd96d709175a9fb3b308d57b5beac9

Observation be5f8335-179d-4e48-a2f5-a4b2003d951f · outbound

This paper cites HDLdebugger: Streamlining HDL debugging with Large Language Models.

UVLLM: An Automated Universal RTL Verification Framework using LLMs HDLdebugger: Streamlining HDL debugging with Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T13:27:04.813397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:27:04.813397Z digest=sha256:2485c6951cd80598238f772260c8bb732f5edb15aa7a0a13f207e0c31f81c705

Observation 678ce00d-68d8-40d4-873c-96e4aa62ba67 · outbound

This paper cites MEIC: Re-thinking RTL Debug Automation using LLMs.

UVLLM: An Automated Universal RTL Verification Framework using LLMs MEIC: Re-thinking RTL Debug Automation using LLMs

Reference 17

Resolution
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no resolver link, observed 2026-08-12T13:27:04.818201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:27:04.818201Z digest=sha256:7c37df5cbcc3ba33b8122405b2e814c3545a2aecec9ddae458cc131e13b32efd

Observation 95766525-8b5d-4cdd-b6bb-ac9084df2299 · outbound

This paper cites Llm4sechw: Leveraging domain-specific large language model for hardware debug- ging,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Llm4sechw: Leveraging domain-specific large language model for hardware debug- ging,

Reference 18

Resolution
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no resolver link, observed 2026-08-12T13:27:04.821818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:27:04.821818Z digest=sha256:f529447ffdfb998ae29eb7da52c01b6041633aeb4cbe5b287ff7fc970195d933

Observation ba191429-b2aa-4032-b335-5e1b3ad26898 · outbound

This paper cites A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT.

UVLLM: An Automated Universal RTL Verification Framework using LLMs A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T13:27:04.825408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:27:04.825408Z digest=sha256:9c228e1b3078f2cf1226f3bd2a557e8ff1d5f77cd970935fddd61d3d8a20a1e6

Observation 4ba35ae9-4a54-48e7-acbf-bb0cc0dc2379 · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

UVLLM: An Automated Universal RTL Verification Framework using LLMs A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 20

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:27:04.829405Z digest=sha256:29ba2cac243006f832487515968d367452643494f912c4013ea3122f5e5688a9

Observation 0bf95ec1-678a-4111-bbd9-99be77991698 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Chain-of-thought prompting elicits reasoning in large language models,

Reference 21

Resolution
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no resolver link, observed 2026-08-12T13:27:04.833013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:27:04.833013Z digest=sha256:6774ec19df352c7401329a95bb8487a76a9732cbff2590f3efc8399a83931ff6

Observation 93727b8f-c84e-4bad-a79d-c3831ec3ddc8 · outbound

This paper cites GPT-4 pricing for OpenAI API,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs GPT-4 pricing for OpenAI API,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:27:05.374170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:27:04.836276Z digest=sha256:510f18f1ed4dadb6f3a280591431068b44466dd1a5b060ca3c3506d98a5dfd49

Observation 0710ab38-b893-4b92-9b6b-30d03d082797 · outbound

This paper cites Robust functional verification framework based in uvm applied to an aes encryption module,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Robust functional verification framework based in uvm applied to an aes encryption module,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:27:05.361253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:27:04.839607Z digest=sha256:70085948caa9799195fad27d94e1ed49ecc352178d829675482678c8ed29e9de

Observation a4885599-5eeb-448f-951d-550790691b05 · outbound

This paper cites Spear, SystemVerilog for Verification: A Guide to Learning the Testbench Language Features.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Spear, SystemVerilog for Verification: A Guide to Learning the Testbench Language Features

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:27:05.347180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:27:04.842798Z digest=sha256:bd2fcea97b5213b62e59155a64fb18c098948da6561a1e607adbadc301197e6b

Observation be16c5e9-7d0e-4c32-bc4f-815f07a63fd4 · outbound

This paper cites Methodology for hardware/software co- verification in c/c++ (short paper),.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Methodology for hardware/software co- verification in c/c++ (short paper),

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:27:05.334586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:27:04.846236Z digest=sha256:052cc8f03cb647b7d8f9082d05ac26d4ce109d993c77921ed456823ed8453990

Observation 58e1ab95-827c-4da1-a26f-220e24e17559 · outbound

This paper cites A fast hardware/software co-verification method for system-on-a-chip by using a c/c++ simulator and fpga emulator with shared register communication,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs A fast hardware/software co-verification method for system-on-a-chip by using a c/c++ simulator and fpga emulator with shared register communication,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:27:05.320891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:27:04.849635Z digest=sha256:72fe108fb026a62bbcce9403e78f42a81583a540053d0edfea61c2aa9bcc4288

Observation eb6d5e87-740e-4594-a894-4a5f3715651f · outbound

This paper cites Generative ai assertions in uvm-based system verilog functional verifi- cation,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Generative ai assertions in uvm-based system verilog functional verifi- cation,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:27:05.308601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:27:04.852872Z digest=sha256:ce82106d538f494da9e92abd46e0631559ec08e35bd2d6f7a897058adf188d57

Observation b4d55ff0-4415-4ada-90f0-d5faed07f279 · outbound

This paper cites Towards mitigating llm hallucination via self reflection,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Towards mitigating llm hallucination via self reflection,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T13:27:04.856541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:27:04.856541Z digest=sha256:204c21744532e01aba18d1a97398bc83bcaecd65394eb4d2e9b1c69d18de05d3

Observation b2d1bca7-7c3a-4ea9-a70e-2d1b40fe7264 · outbound

This paper cites Measuring and mitigating hallucinations in large lan- guage models: amultifaceted approach,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Measuring and mitigating hallucinations in large lan- guage models: amultifaceted approach,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:27:05.288666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:27:04.860018Z digest=sha256:b2133eb882425df51136375863a1b2866edccb8dc08a5cfb0c46e5e1b06570f2

Observation 677c6a19-97b4-43ac-b359-35ef36ca24aa · outbound

This paper cites Truth-o-meter: Collaborating with llm in fighting its hallucinations,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Truth-o-meter: Collaborating with llm in fighting its hallucinations,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:27:05.274247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:27:04.863357Z digest=sha256:095097f751a8864b42fcd4208be857feabce1e2676581fbab29eb439f2be5680

Observation d5ef96dc-fb71-4608-9a92-bb0c7478d15d · outbound

This paper cites Hallucination detection: Robustly discerning reliable answers in large language models,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Hallucination detection: Robustly discerning reliable answers in large language models,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:27:05.261937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:27:04.866633Z digest=sha256:a7d190bf358e65fa1c72a74b3217b66f3e2081e9afdffaf37e428be9b1711aea

Observation ae345c14-8821-4b13-a0bf-d7de5fc5c27f · outbound

This paper cites Survey of hallucination in natural language generation,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Survey of hallucination in natural language generation,

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-12T13:27:04.870497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:27:04.870497Z digest=sha256:de2a887c993ce165cb14cad78925fd54ff87c2720fd4fb5a8f3706f53b96591e

Observation dfdd742d-ca39-40df-9c0e-0efc58e7605d · outbound

This paper cites RewardBench: Evaluating Reward Models for Language Modeling.

UVLLM: An Automated Universal RTL Verification Framework using LLMs RewardBench: Evaluating Reward Models for Language Modeling

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T13:27:04.874221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:27:04.874221Z digest=sha256:f3903614a2c4a048a41c12af5ddc6782ea8440ff88c59b044303a1a41bf6de69

Observation 235386da-c85f-44d1-8ef6-e63e613a1525 · outbound

This paper cites Structured outputs - OpenAI API,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Structured outputs - OpenAI API,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:27:05.242812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:27:04.878133Z digest=sha256:7ff82fc855f741f3d0b0a51688b2882602fb738d17192ef987e9b4f01f944efe

Observation f7821d98-337b-4840-baa8-02cea94b10c1 · outbound

This paper cites Understanding bug fix patterns in verilog,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Understanding bug fix patterns in verilog,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:27:05.231524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:27:04.882278Z digest=sha256:7a84dc5b1bdb3787dd26580b1ef5d1c25d2e333bf1624e247c38c4e31ec0b5d1

Observation 4f003e40-066d-4b49-bc4e-fa9296439c90 · outbound

This paper cites Debugging in the brave new world of reconfigurable hardware,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Debugging in the brave new world of reconfigurable hardware,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:27:05.219330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:27:04.886792Z digest=sha256:3d2baa5043c38fc6b40fa9e9515c3073add38f2bdd2388dbf27cc07819181769

Observation b6349b8e-391c-4ed6-9ecf-51064f89e6de · outbound

This paper cites Evaluating code complexity triggers, use of complexity measures and the influence of code complex- ity on maintenance time,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Evaluating code complexity triggers, use of complexity measures and the influence of code complex- ity on maintenance time,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:27:05.207252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:27:04.890430Z digest=sha256:0a7e81c1f9d1d25970aadc6c983f1f4db3514a3fdd31facc2d247a36a2c0c41a

Observation dae15a0d-97fa-4c82-9daf-218d30c363e4 · outbound

This paper cites RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model.

UVLLM: An Automated Universal RTL Verification Framework using LLMs RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T13:27:04.894147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:27:04.894147Z digest=sha256:8712561af4f6fd00c666fb4fb093b5759121d8a36abf8c2afcd48384f14c65c0

Observation d3255d0a-44fa-4e41-9d76-fd5a70222588 · outbound

This paper cites VCS: Synopsys Verification Continuum,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs VCS: Synopsys Verification Continuum,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:27:05.193940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:27:04.899223Z digest=sha256:858e876fc312828b1f0e5e00430ea9bfea5811595b14e4f2ce3bbe35f73e92c9

Observation 7aee5f5e-b6cd-4b3d-b442-8032d42063c9 · outbound

This paper cites Icarus Verilog,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Icarus Verilog,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:27:05.181141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:27:04.903199Z digest=sha256:72493c7992eb73bc2a292bb3acf55c35c55c22c3c361552d58955c3b956f29e5

Observation d0e55953-8801-48a0-a55e-fdaa32377bf4 · outbound

This paper cites ModelSim,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs ModelSim,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:27:05.167962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:27:04.906857Z digest=sha256:abee7799857a442eea2bbf91dab6708e0a362ec7feee2ac83331a78e10f4e66c

Observation 074ed55e-2489-44e3-a81c-a4bc26f6c062 · outbound

This paper cites Yosys Open SYnthesis Suite,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Yosys Open SYnthesis Suite,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:27:05.155244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:27:04.910526Z digest=sha256:89454031bb42e173de1807485ac8c5f5f344878a79b8e08403087462935bd46a

Observation 4fec4b8e-bc0d-4c0f-8549-032a45c81077 · outbound

This paper cites Verilator,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Verilator,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:27:05.141860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:27:04.914077Z digest=sha256:4f43fd82bdd2f2d173400118872ea6bd81271a5b83ca87f8bf89856a2a3809c8

Observation bd9dfccf-a1e6-4f52-a87c-cff9ee9e3b7b · outbound

This paper cites Evaluating Large Language Models Trained on Code.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Evaluating Large Language Models Trained on Code

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T13:27:04.917969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:27:04.917969Z digest=sha256:23f9e108629bdb8756967e3ac00fd7b4e50ef588b541338d8255ba14a31684d1

Observation 5f57fb60-f0e2-447d-829c-a43df1b0ccbd · outbound

This paper cites Llm- based test-driven interactive code generation: User study and empirical evaluation,.

UVLLM: An Automated Universal RTL Verification Framework using LLMs Llm- based test-driven interactive code generation: User study and empirical evaluation,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:27:05.127986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T13:27:04.921892Z digest=sha256:3a6e42518ba534e42fa341d4bc1c6da3467aca12c6f6998807e3c306ec091f05

Observation e459b95b-7251-4f59-ba29-55a4cf35f2f1 · outbound

This paper cites DebugBench: Evaluating Debugging Capability of Large Language Models.

UVLLM: An Automated Universal RTL Verification Framework using LLMs DebugBench: Evaluating Debugging Capability of Large Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-12T13:27:04.926059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:27:04.926059Z digest=sha256:d19abd27ff04bfb28ab3071a41dd6a0e24f4f262cd847499377a40080bccf03a

Pith citing papers

Observation e1be1a23-3e27-4bd0-bec1-2e349456e72e · inbound

From Concept to Practice: an Automated LLM-aided UVM Machine for RTL Verification cites this paper.

From Concept to Practice: an Automated LLM-aided UVM Machine for RTL Verification UVLLM: An Automated Universal RTL Verification Framework using LLMs

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-22T18:01:54.457392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-22T17:58:45.319714Z digest=sha256:d8d2918090442a6a12e4c9931e4b107d2bb5cba887fbf00b8df680659f672dab

Observation 4814d0dd-40e7-4b4c-aaaf-bd95d274d4c9 · inbound

iDSE: Navigating Design Space Exploration in High-Level Synthesis Using LLMs cites this paper.

iDSE: Navigating Design Space Exploration in High-Level Synthesis Using LLMs UVLLM: An Automated Universal RTL Verification Framework using LLMs

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T13:20:54.004393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:20:54.004393Z digest=sha256:86e43db468c24d33eb0b9dd3a9667457df49fe2088ea0c2cf9072f2112e2cd25

Observation 83eb66be-b52e-4e20-8616-ddb0962692af · inbound

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction cites this paper.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction UVLLM: An Automated Universal RTL Verification Framework using LLMs

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T23:21:48.744820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:21:48.744820Z digest=sha256:ab334f81f6615441a842536bc60f3ed57cf512418fda3f2963a02160a496c1c1

Observation eff81140-5be2-4877-8353-85d0ab0285c8 · inbound

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models cites this paper.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models UVLLM: An Automated Universal RTL Verification Framework using LLMs

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-06T22:55:09.342893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:55:09.342893Z digest=sha256:82e7a609c76153ab6bd4f9a9c02d5b775ecbe7e80d43d05c5f657a8a9c177e24

Observation 8bcb6235-43a2-43c1-b374-b420266b22d5 · inbound

ChatSVA: Bridging SVA Generation for Hardware Verification via Task-Specific LLMs cites this paper.

ChatSVA: Bridging SVA Generation for Hardware Verification via Task-Specific LLMs UVLLM: An Automated Universal RTL Verification Framework using LLMs

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-13T19:08:10.056094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T19:03:57.498462Z digest=sha256:caabc00e941f2a23ce9382f8fef0990c8c9229ad61a39428cecc5af7b1ed7815

Observation 3cf5a0fd-3ebe-418b-b70a-87447c63a544 · inbound

Automated SVA Generation with LLMs cites this paper.

Automated SVA Generation with LLMs UVLLM: An Automated Universal RTL Verification Framework using LLMs

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:06:00.672550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T16:14:26.057709Z digest=sha256:6c6e6151b9f4f775958d5ec4daac1f18b14c9b2c463c87dbb1d6d9a9e5ed3198

Observation 9280a143-df73-4280-bd94-acad8c511d3f · inbound

Spec2Cov: An Agentic Framework for Code Coverage Closure of Digital Hardware Designs cites this paper.

Spec2Cov: An Agentic Framework for Code Coverage Closure of Digital Hardware Designs UVLLM: An Automated Universal RTL Verification Framework using LLMs

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:17:37.539666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T08:14:18.075112Z digest=sha256:99952949c808b25c97db58b3793ed315deadb966c42838d29673f2c87e7d5e98

Observation 979e7fce-df0d-4d71-88e5-e92145bbb92a · inbound

Spec2Cov: An Agentic Framework for Code Coverage Closure of Digital Hardware Designs cites this paper.

Spec2Cov: An Agentic Framework for Code Coverage Closure of Digital Hardware Designs UVLLM: An Automated Universal RTL Verification Framework using LLMs

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-22T10:21:24.145915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-22T10:18:18.439819Z digest=sha256:ff05553fb345629c4b1c28e0421670fea7a9426a4c8a33cbe934d89813ad8243

Observation d0b85209-8d14-4707-bc55-2dd67e0b2027 · inbound

Understanding Inference-Time Token Allocation and Coverage Limits in Agentic Hardware Verification cites this paper.

Understanding Inference-Time Token Allocation and Coverage Limits in Agentic Hardware Verification UVLLM: An Automated Universal RTL Verification Framework using LLMs

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:02:25.025032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T08:00:22.126447Z digest=sha256:80189955d1bbd658b5de05b0f5b224ad18278c830acae12b6267dbbc9c89a6ff

Observation ba8976de-96b2-479b-8c32-850d71fcc1de · inbound

Clover: A Neural-Symbolic Agentic Harness with Stochastic Tree-of-Thoughts for Verified RTL Repair cites this paper.

Clover: A Neural-Symbolic Agentic Harness with Stochastic Tree-of-Thoughts for Verified RTL Repair UVLLM: An Automated Universal RTL Verification Framework using LLMs

Reference 9

Resolution
malformed identifier
arxiv_id, observed 2026-05-10T06:11:20.107384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T06:09:39.737812Z digest=sha256:ded70763cd8451559aa02374a2e99fb1c8c25400b980aea1326110814065882c

Observation 61c11091-8a90-41d2-8c17-1c7b14bfc099 · inbound

UVMarvel: an Automated LLM-aided UVM Machine for Subsystem-level RTL Verification cites this paper.

UVMarvel: an Automated LLM-aided UVM Machine for Subsystem-level RTL Verification UVLLM: An Automated Universal RTL Verification Framework using LLMs

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:31:13.625813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T15:36:38.153161Z digest=sha256:f5d70a03b8f5dd2170f2ebb02c69797ae3a398ba7cb2a96c74aefd8328647f5f

Observation 99a51729-d332-40d1-b13f-45684cf34b68 · inbound

LongRTL: Graph-Similarity-Guided LLM-driven Long Context RTL Optimization cites this paper.

LongRTL: Graph-Similarity-Guided LLM-driven Long Context RTL Optimization UVLLM: An Automated Universal RTL Verification Framework using LLMs

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-03T03:37:35.788154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T15:02:42.299863Z digest=sha256:cf4f5bc2cecfacecd85ba99b77c6b24b5ec6397dfd4737544e5e91b93f9c50d5